Databricks vs Jedox comparison

The compared Databricks and Jedox solutions aren't in the same category. Databricks is ranked #9 in CDW , with an average rating of 8.3, and holds a 10.0% mindshare in the category. Jedox is ranked #12 in BPM , and holds a 4.0% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Jedox users who would recommend it.

Databricks

Read 93 Databricks reviews

18,865 Views
2,075 Comparison Views

96% willing to recommend

Jedox

Read 13 Jedox reviews

1,777 Views
977 Comparison Views

100% willing to recommend

Databricks

Jedox

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Jedox based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: January 2026).

Buyer's Guide

Cloud Data Warehouse

January 2026

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Helped 882,032 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (9th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)

Jedox

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Business Performance Management (12th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 10.0%, up 7.2% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 4.0% mindshare, down 4.7% since last year.

Cloud Data Warehouse Market Share Distribution
Product	Market Share (%)
Databricks	10.0%
Snowflake	15.9%
Teradata	8.4%
Other	65.7%

Cloud Data Warehouse

Business Performance Management Market Share Distribution
Product	Market Share (%)
Jedox	4.0%
Anaplan	6.9%
CCH Tagetik	5.1%
Other	84.0%

Business Performance Management

Featured Reviews

Satyam Wagh

Consultant at Nice Software Solutions

Unified data workflows have cut ticket processing times and are driving faster business insights

Databricks already provides monthly updates and continuously works on delivering new features while enhancing existing ones. However, the platform could become easier to use. While instruction-led workshops are available, offering more free instructional workshops would allow a wider audience to access and learn about Databricks. Additionally, providing use cases would help beginners gain more knowledge and hands-on experience. Regarding my experience, I was initially unfamiliar with the platform and had to conduct research and learn through various videos. I did find some instruction-led classes, but several of those required payment. The platform should provide more free resources to enable a broader audience to access and learn about Databricks. The platform itself is user-friendly and easy to use without complex issues, so I believe it does not need improvement in its core functionality. Rather, supporting aspects can be enhanced.

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Riyaz Halani

Financial Controller at Zalando SE

Powerful BI tool for analyzing financial performance and stable performance

I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."

"Having one solution for everything, from data engineering to machine learning, is beneficial since everything comes under one hood."

"The most valuable aspect of the solution is its notebook. It's quite convenient to use, both terms of the research and the development and also the final deployment, I can just declare the spark jobs by the load tables. It's quite convenient."

"Databricks serves as a single platform for conducting the entire end-to-end lifecycle of machine learning models or AI ops."

"The solution is easy to use and has a quick start-up time due to being on the cloud."

"The most valuable feature of Databricks is the notebook, data factory, and ease of use."

"The ease of use and its accessibility are valuable."

"Databricks gives us the ability to build a lakehouse framework and do everything implicit to this type of database structure. We also like the ability to stream events. Databricks covers a broad spectrum, from reporting and machine learning to streaming events. It's important for us to have all these features in one platform."

More Databricks pros

"The ETL function simplifies many tasks."

"The system is quite flexible. Based on our requirements, we create different cubes that can help us to do complete planning."

"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."

"The EPM is the most valuable feature."

"The ETL itself was pretty useful and it's integrated in the tenant itself. So the Olap service technology was impressive to me. In order to extract that and load it in the tube in the same tenant or the same tool that was something magnificent because I actually missed this in SEB. SEB requires another tool, and you have to integrate all the tools together. But for Jedox, it was in the one tool."

"The customer porting is the most valuable feature."

"We can configure and have complete freedom while creating solutions."

"The data entry point is most valuable. The way we can customize our report or do data entry is very good."

More Jedox pros

Cons

"There is room for improvement in the documentation of processes and how it works."

"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."

"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."

"Databricks can improve by making the documentation better."

"I have seen better user interfaces, so that is something that can be improved."

"There has been a significant evolution in databases. One area of improvement is the Databricks File System (DBFS), where command-line challenges arise when accessing files."

"I believe that this product could be improved by becoming more user-friendly."

"In the next release, I would like to see more optimization features."

More Databricks cons

"Visualization is something they need to improve. We have already told them about this, and they should be working on it."

"I think it's the design of the report because the design and the UI for the report is standard and lame. When you see a Jedox report, it doesn't seem like it's from today, because the technology is something from the last decade. The scalability needs improvement."

"I don't find it particularly user-friendly."

"There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself."

"The solution needs to improve its support. The visualization in Microsoft BI is more modern and comfortable than Jedox's. I would expect something similar with the solution."

"More emphasis is needed on the availability of the learning aspect of the solution. Because unless you take up their course that enables you to be an expert in creating the report, you must seek help."

"Being an analytical solution, it should have more visualization options like graphs. When we are putting it, it should have more options. The UI can be made more modernized based on today's market. Sometimes, when we are doing heavy reports or dashboarding, there is a bit of a performance issue because it is pulling up a huge amount of data. That can be improvised by buffer memory and getting some buffer memory feature into it. It is a bit complex because it is a CPM solution. It helps you to get the information based on the different tools that we are using, which is a bit of a complex thing. It is not as easy as Microsoft Power BI. It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming. It took about eight months to do the complete implementation. We got some training from the partner and the Jedox team, which helped us later on in pulling things forward, but too much learning is required, and too many possibilities are there."

"Online pixel-perfect reporting is an aspect that has room for improvement."

More Jedox cons

Pricing and Cost Advice

"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."

"I'm not involved in the financing, but I can say that the solution seemed reasonably priced compared to the competitors. Similar products are usually in the same price range. With five being affordable and one being expensive, I would rate Databricks a four out of five."

"Databricks uses a price-per-use model, where you can use as much compute as you need."

"The product pricing is moderate."

"The billing of Databricks can be difficult and should improve."

"It is an expensive tool. The licensing model is a pay-as-you-go one."

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."

"I do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."

More Databricks pricing and cost advice

"The solution's pricing is specific to your requirements."

"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."

"The product’s pricing will not be suitable for setting up a small solution."

"Excellent value for money."

"Jedox was a bit cheaper compared to Calumo."

"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

Healthcare Company

Comms Service Provider

11%

Computer Software Company

Manufacturing Company

Aerospace/Defense Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	56

By reviewers
Company Size	Count
Small Business	6
Midsize Enterprise	3
Large Enterprise	4

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

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Comparisons

Dataiku vs Databricks

Compared 6% of the time

Microsoft Power BI vs Databricks

Compared 4% of the time

Dremio vs Databricks

Compared 4% of the time

Informatica PowerCenter vs Databricks

Compared 4% of the time

Alteryx vs Databricks

Compared 3% of the time

More Databricks Competitors

Microsoft Power BI vs Jedox

Compared 15% of the time

Anaplan vs Jedox

Compared 7% of the time

IBM Planning Analytics vs Jedox

Compared 7% of the time

Board vs Jedox

Compared 6% of the time

Oracle Planning and Budgeting Cloud vs Jedox

Compared 3% of the time

More Jedox Competitors

Product Reports

Buyer's Guide

Databricks

February 2026

Download Databricks product report

Buyer's Guide

Jedox

January 2026

Download Jedox product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Jedox EPM

Overview

Databricks offers a scalable, versatile platform that integrates seamlessly with Spark and multiple languages, supporting data engineering, machine learning, and analytics in a unified environment.

Databricks stands out for its scalability, ease of use, and powerful integration with Spark, multiple languages, and leading cloud services like Azure and AWS. It provides tools such as the Notebook for collaboration, Delta Lake for efficient data management, and Unity Catalog for data governance. While enhancing data engineering and machine learning workflows, it faces challenges in visualization and third-party integration, with pricing and user interface navigation being common concerns. Despite needing improvements in connectivity and documentation, it remains popular for tasks like real-time processing and data pipeline management.

What features make Databricks unique?

Notebook: Enables collaborative work among team members.
Delta Lake: Optimizes data management operations.
Unity Catalog: Provides governance over data assets.
Cloud Integration: Seamlessly connects with major cloud platforms.

What benefits can users expect from Databricks?

Versatility: Supports diverse applications in data science and engineering.
Performance: Delivers efficient handling of large-scale analytics tasks.
Collaboration: Enhances teamwork in data projects.
Unified Environment: Centralizes machine learning and analytics activities.

In the tech industry, Databricks empowers teams to perform comprehensive data analytics, enabling them to conduct extensive ETL operations, run predictive modeling, and prepare data for SparkML. In retail, it supports real-time data processing and batch streaming, aiding in better decision-making. Enterprises across sectors leverage its capabilities for creating secure APIs and managing data lakes effectively.

Databricks

Integrated Corporate Performance Management software provides reliable data, insights, and guidance to everyone in your company. Jedox delivers it all: Self-service budgeting, planning, and forecasting combined with intuitive analytics and BI dashboards in one integrated software platform. Users across the enterprise in any department from Finance to Sales, HR, and Procurement create integrated plans and reports based on the same data model and business logic. Integrate financial planning and analysis with operational plans and reporting to optimize processes, boost data quality, and slash planning cycles throughout the organization.

Jedox

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever

Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse. Updated: January 2026.

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